Book/Course Recommendation to gain practical experience in using LLMs

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I’m wanting to gain practical in-depth experience of building solutions using LLMs. I’d like to understand more about how to use RAG and see how code is put together to achieve that.
Is there a good book/course that can be recommended to help with this?

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Hi, I can recommend Hands-On Large Language Models By Alammar & Grootendorst

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And I would recommend Maxime Labonne’s course on GitHub:

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You can look into the short courses available here on deeplearning.ai.
If you are going for books keep in mind the sector is evolving fast so it may not be the best in terms of application/integration of LLMs in workflows. If you want to know more about how they are trained and built maybe but in your case it may be a rabbit hole not really worthwhile.
Your best bets are to ask the LLMs themselves what can be done and search the internet for examples of applications in your industry.
You can learn the basics of prompting and associated techniques then build automated workflows using n8n or Make (Integromat).